Triple
T12972987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakiska Ski Resort |
E321448
|
entity |
| Predicate | difficultyMix |
P98721
|
FINISHED |
| Object | beginner to expert |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: beginner to expert | Statement: [Nakiska Ski Resort, difficultyMix, beginner to expert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyMix Context triple: [Nakiska Ski Resort, difficultyMix, beginner to expert]
-
A.
difficulty
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
B.
difficultyOption
Indicates a relationship where a particular option specifies or represents a level of difficulty for something (e.g., a task, question, or activity).
-
C.
difficultySource
Indicates that one entity is the cause, origin, or contributing factor to the difficulty or challenge experienced in relation to another entity or situation.
-
D.
difficultyRole
Indicates the level or type of challenge associated with performing a particular role or function.
-
E.
difficultyModes
chosen
Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:36 p.m.